Social media platforms operate globally, but do they allocate human moderation equitably across languages? Our new WP shows the answer is no: -Millions of users post in languages with zero moderators -Where mods exist, mod count relative to content volume varies widely across langs osf.io/amfws

🏆 Thrilled to share that our HateDay paper has received an Outstanding Paper Award at #ACL2025 Big thanks to my wonderful co-authors: @deeliu97.bsky.social, Niyati, @computermacgyver.bsky.social, Sam, Victor, and @paul-rottger.bsky.social! Thread 👇and data avail at huggingface.co/datasets/man...

Using #LLMs to improve claim matching and #misinformation response. Come see our poster at #ACL2025NLP now (#430) or read the paper. aclanthology.org/2025.finding...

If you missed this presentation, check out the paper here: aclanthology.org/2025.acl-lon...

Overview of OII #ACL2025 presentations at the link below. Please say hi if you're here www.oii.ox.ac.uk/news-events/...

The worst happened. We were DOGE’d. Our NSF funding is gone. So now there’s nothing stopping me from sharing Expert Voices Together, a crisis response system for US-based researchers and journalists facing harassment. It's a true passion project. 🧵 1/ expertvoicestogether.org

📈Out today in @PNASNews!📈 In a large pre-registered experiment (n=25,982), we find evidence that scaling the size of LLMs yields sharply diminishing persuasive returns for static political messages.  🧵:

Can we detect #hatespeech at scale on social media? To answer this, we introduce 🤬HateDay🗓️, a global hate speech dataset representative of a day on Twitter. The answer: not really! Detection perf is low and overestimated by traditional eval methods arxiv.org/abs/2411.15462 🧵